Dataset Versions
v1
2024-06-27 6:52am
Generated on Jun 27, 2024
497 Total Images
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Dataset Split
Train Set 88%
435Images
Valid Set 8%
41Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -6° and +6°
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 2.9px
Noise: Up to 1.6% of pixels